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1,425 results
Keynote: Enterprise Value with Generative AI - Gourab De, Vice President, Customer Success and Machine Learning, Weights ...
225 views
6 months ago
We'll take a look at how exactly neural networks learn by starting with modeling an objective function through Maximum ...
8,489 views
6 years ago
In this video, I'll guide you through weight initialization techniques in neural networks and highlight what NOT to do. From common ...
25,264 views
1 year ago
Lecture slides and class materials for this workshop are available at bioinformaticsdotca.github.io/MLE_2023 Visit us at ...
314 views
9 months ago
This video in our Ecological Forecasting series introduces the concept of the state-space model (a.k.a. Hidden Markov model) as ...
3,318 views
4 years ago
TensorFlow MNIST tutorial https://youtu.be/wQ8BIBpya2k Source code ...
7,708 views
Keynote: LLM Dev Status in Japan - Akira Shibata, Weights & Biases.
82 views
4 weeks ago
Why update weights and biases after training a Neural Network on whole set of training samples? Helpful? Please support me on ...
2 views
3 years ago
This covers multi-headed attention, scaling/mask, residual connections + Add & Normalization. These topics did not fit in the main ...
1,365 views
2 years ago
Amanda Kelly, Co- Founder, Streamlit, Product Director, Snowflake & Chris Van Pelt, Co-Founder & CISO, Weights & Biases join ...
12,867 views
2 weeks ago
Source code https://github.com/vipinkmenon/neuralNetwork/tree/master/Tut-6.
8,265 views
They introduce Weights and Biases (W&B), an experiment tracking and logging tool that can help manage and visualize the ...
6,521 views
Use learning rate schedule that doesn't decay to zero (cyclical or constant) Average weights Cyclical LR at the end of each cycle ...
1,709 views
5 years ago
Backpropagation lies at the core of how neural networks are trained. Automatic differentiation lies at the core of backpropagation.
656 views
Kerryn Gammie https://2018.za.pycon.org/talks/64-so-whats-the-story/ ‹h2›As the world's data grows, so does its aptitude for AI.
149 views
We continue the theme of building neural networks in a spreadsheet, as a way to do a worked example of them. In this video, we ...
6,115 views
... 3:33 Building a deep neural network for the XOR function 6:57 Exploring the weights and biases of a deep neural network 10:07 ...
13,885 views
... Data Collection 00:00:48 Step 3 - Neural Network Architectures 00:01:00 Step 4 - Initializing Weights and Biases 00:01:12 Step ...
21 views
7 months ago
The error backpropagation algorithm is gradient descent on neural networks. Here is a detailed derivation and description of the ...
1,649 views
Today we continue our dive deep into the foundations of how a neural net really works, by training one from scratch. We look at ...
77,072 views